PWFSLSmoke (version 1.0.20)

monitor_dailyStatistic: Calculate Daily Statistics

Description

Calculates daily statistics for each monitor in ws_monitor.

Usage

monitor_dailyStatistic(ws_monitor, FUN = get("mean"), dayStart = "midnight",
  na.rm = TRUE, minHours = 18)

Arguments

ws_monitor

ws_monitor object

FUN

function used to collapse a day's worth of data into a single number for each monitor in the ws_monitor object

dayStart

one of sunset|midnight|sunrise

na.rm

logical value indicating whether NA values should be ignored

minHours

minimum number of valid data hours required to calculate each daily statistic

Value

A ws_monitor object with daily statistics for the local timezone.

Details

Sunrise and sunset times are calculated based on the first monitor encountered. This should be accurate enough for all use cases involving co-located monitors. Monitors from different regions should have daily statistics calculated separately.

Examples

# NOT RUN {
N_M <- monitor_subset(Northwest_Megafires, tlim=c(20150801,20150831))
WinthropID <- '530470010_01'
TwispID <- '530470009_01'
MethowValley <- monitor_subset(N_M, tlim=c(20150801,20150831), monitorIDs=c(WinthropID,TwispID))
MethowValley_dailyMean <- monitor_dailyStatistic(MethowValley, FUN=get('mean'), dayStart='midnight')
# Get the full Y scale
monitorPlot_timeseries(MethowValley, style='gnats', col='transparent')
monitorPlot_timeseries(MethowValley, style='gnats', monitorID=TwispID,
                       col='forestgreen', add=TRUE)
monitorPlot_timeseries(MethowValley, style='gnats', monitorID=WinthropID,
                       col='purple', add=TRUE)
monitorPlot_timeseries(MethowValley_dailyMean, type='s', lwd=2, monitorID=TwispID,
                       col='forestgreen', add=TRUE)
monitorPlot_timeseries(MethowValley_dailyMean, type='s', lwd=2, monitorID=WinthropID,
                       col='purple', add=TRUE)
addAQILines()
addAQILegend("topleft", lwd=1, pch=NULL)
title("Winthrop & Twisp, Washington Daily Mean PM2.5, 2015")
# }